OpenCV (Open Source Computer Vision) is a library of programming functions for realtime computer vision. OpenCV is released under a BSD license and hence it’s free for both academic and commercial use. It has C++, C, Python and Java (Android) interfaces and supports Windows, Linux, Android, iOS and Mac OS. It has more than 2500 optimized algorithms. Adopted all around the world, OpenCV has more than 7 million downloads growing by nearly 200K/month. Usage ranges from interactive art, to mines inspection, stitching maps on the web on through advanced robotics.
Install-Package OpenCV -Version 2.4.11
dotnet add package OpenCV --version 2.4.11
<PackageReference Include="OpenCV" Version="2.4.11" />
paket add OpenCV --version 2.4.11
Binaries and build targets for OpenCV 2.4.11 in the x86 and x64 platform architectures.
This package has no dependencies.
NuGet packages (2)
Showing the top 2 NuGet packages that depend on OpenCV:
ArUco is a minimal C++ library for detection of Augmented Reality markers based exclusively on OpenCV and provided under the BSD license. The library relies on the use of coded markers. Each marker has a unique code indicated by a pattern of black and white colors that allows for up to 1024 different markers.
Caffe: a fast open framework for deep learning. http://caffe.berkeleyvision.org/
This package is not used by any popular GitHub repositories.